What is he best known for?
The fields of study he is best known for:
- Algorithm
- Artificial intelligence
- Computer network
His primary areas of investigation include Operations research, Simulation, Production, Industrial engineering and Scheduling.
His Operations research research integrates issues from Decision support system, Truck and Decision problem.
He combines subjects such as Decision rule, Order picking, Mobile robot and Order processing with his study of Decision problem.
His Production research encompasses a variety of disciplines, including Context, Industrial production and Relevance.
Nils Boysen integrates Industrial engineering and Mixed model in his research.
In his study, which falls under the umbrella issue of Cross-docking, Truck scheduling is strongly linked to DOCK.
His most cited work include:
- A classification of assembly line balancing problems (583 citations)
- Assembly line balancing: Which model to use when? (348 citations)
- Sequencing mixed-model assembly lines: Survey, classification and model critique (319 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Operations research, Mathematical optimization, Scheduling, Scheduling and Job shop scheduling.
The concepts of his Operations research study are interwoven with issues in Computational complexity theory, Task, Heuristic, Truck and Decision problem.
In general Mathematical optimization study, his work on Combinatorial optimization often relates to the realm of Line and Upper and lower bounds, thereby connecting several areas of interest.
His studies in Scheduling integrate themes in fields like Simulation and Transport engineering.
His biological study spans a wide range of topics, including Production manager and Toyota Production System.
His Job shop scheduling research incorporates elements of Automotive engineering, Dynamic programming and Heuristic.
He most often published in these fields:
- Operations research (36.96%)
- Mathematical optimization (21.30%)
- Scheduling (20.00%)
What were the highlights of his more recent work (between 2017-2021)?
- Operations research (36.96%)
- Truck (13.04%)
- Scheduling (20.00%)
In recent papers he was focusing on the following fields of study:
Nils Boysen focuses on Operations research, Truck, Scheduling, Real-time computing and Order picking.
His Operations research study integrates concerns from other disciplines, such as Robot and Decision problem.
His Truck research is multidisciplinary, incorporating perspectives in Computational complexity theory and Scheduling.
The Job shop scheduling research Nils Boysen does as part of his general Scheduling study is frequently linked to other disciplines of science, such as Shunting and Doors, therefore creating a link between diverse domains of science.
His Real-time computing research is multidisciplinary, incorporating elements of Lift, Bottleneck, Robustness and Mobile robot.
The Order picking study combines topics in areas such as Industrial engineering, Stock keeping unit and Data science.
Between 2017 and 2021, his most popular works were:
- Warehousing in the e-commerce era: A survey (94 citations)
- Scheduling last-mile deliveries with truck-based autonomous robots (55 citations)
- Drone delivery from trucks: Drone scheduling for given truck routes (37 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- Algorithm
- Computer network
His main research concerns Operations research, Truck, Sorting, Computational complexity theory and Order picking.
As part of his studies on Operations research, Nils Boysen often connects relevant subjects like Interval scheduling.
His Truck research includes elements of Scheduling and Scheduling, Job shop scheduling.
His Scheduling study combines topics from a wide range of disciplines, such as Robot and Intelligent transportation system.
His Sorting research includes themes of Containerization, Decision problem and Distributed computing.
Nils Boysen usually deals with Order picking and limits it to topics linked to Database and Stock keeping unit.
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